# Transaction Fee Observations — Numeric Distribution + Secondary-Measure Weighted Mean

> Transaction Fee Observations — Numeric Distribution + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Computes a numeric distribution and a transaction-count-weighted mean for up to 200 supplied transaction fee observation records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-03-082?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transaction-fee-observations-numeric-distribution-secondary-measure-0c5849d6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_v99ZBUGTYHq38gy1Vyc5u

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability transaction-fee-observations-numeric-distribution-secondary-measure-0c5849d6 -d '<json body>'
```

Example prompt: I have a batch of transaction fee records with fee_units and transaction_count columns — can you run a numeric distribution and a transaction-count-weighted mean across all rows so I can see how fees are spread and what the volume-weighted average looks like?

## When to prefer this

Choose this endpoint when you have a batch of transaction fee observation records (up to 200 rows) and need both a distribution profile of fee values AND a volume-weighted mean in a single call. It is ideal for offline/supplied-data analytics where no live market data or external enrichment is needed, and when cost efficiency (0.01 USDC for 2 reports) is important. Prefer alternatives if you need real-time fee data, predictions, or more than 200 rows processed at once.

## Known failure modes

- Rows array is empty or missing — validation error
- More than 200 rows supplied — exceeds maxItems limit
- fee_units or transaction_count contains non-numeric values outside allowed range — schema rejection
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Payment not received or insufficient USDC balance — 402 response
- row_id missing or empty string — minLength violation

## How this service works

Transaction fee observations — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + Secondary-measure weighted mean for supplied transaction fee observations records (fee_units, transaction_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two analytical reports for the supplied rows: (1) a numeric distribution (e.g. percentiles, frequency bins, min/max/mean/std) of the selected field (fee_units or transaction_count), and (2) a secondary-measure weighted mean where the selected field values are weighted by the other numeric column (transaction_count). Both reports are computed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "instrument_group",
     "date",
     "fee_units",
     "transaction_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "fee_units": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "instrument_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "transaction_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "fee_units": 10,
     "instrument_group": "group-a",
     "transaction_count": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "fee_units": 20,
     "instrument_group": "group-b",
     "transaction_count": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "fee_units": 15,
     "instrument_group": "group-a",
     "transaction_count": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "fee_units": 30,
     "instrument_group": "group-b",
     "transaction_count": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "fee_units",
    "transaction_count"
   ],
   "type": "string",
   "default": "fee_units"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transaction-fee-observations-numeric-distribution-secondary-measure-0c5849d6/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)